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Our research dives deep into theoretical and applied aspects of signal, image processing, and machine learning to solve societal challenges through technology. We are mainly focused on developing advanced methods for the following tasks/areas-
● Landcover classification from remote sensing images
● Hyperspectral image processing
● Tensor approach for data compression
● Image quality assessment
● Biometric Recognition
● Explainable machine learning
● AI for precision agriculture
● AI for Remote Sensing
Seeking PhD students, Masters Students, Internship Postions, Collaboration in Hyperspectral image processing, Remote Sensing, AI4 Agriculture, Deep learning, XAI, Signal Processing. Feel free to reach out.
Current Students-
Ramen Ghosh (PhD)- Deep Learning for Change Detection from Remotely Sensed Hyperspectral Images
Nakshatra Goswami (MS)- Wavelet Decomposition-based DL Models for Non-stationary Time Series Prediction
Abhinav N (MS)- Evaluation of Counterfactual Explanations and Feature Importance for Machine Learning Models
Gavit Deepsh Ravikant (MS)- Large Language Models for Multimodal Meme Understanding
Sayandeep Pal (BS)- Evaluation of Actionable Counterfactuals in Crop Recommendation Systems
Manish Gayen (BS)- Tackling Label Noise in Medical Imaging
Avinash Kumar Kashyap (BS)- Motion Tracking of Blood Droplets Using Deep Learning Techniques
Abhinav (BS)- Deep Learning Based Near Infrared Image Colorization
Ganesh Birua (BS)- Remote Sensing Image Quality Assessment using Deep Learning Techniques
Rakshith Vaishnavi Dogra (BS)- Generation of Hyperspectral Images from RGB Images
Aravind Babu M (BS)- Quantifying depth from Remote Sensing Images
Some of our collaborators
Our Collaborators
UPDATES
Our latest publications-
"MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification " at IEEE Transactions on Geoscience and Remote Sensing, can be accessed at https://ieeexplore.ieee.org/abstract/document/10587034. The Github Link- https://github.com/AI4RS/MaskCD
Karabi Konar, Saptarshi Das, Samiran Das, Sanjay Misra, "Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI", SN Computer Science, Vol 6, 2025.
Manas K Nag, Anup K Sadhu, Samiran Das, Chandan Kumar, Sandeep Choudhary, "3D CoAtUSegNet-Enhanced Deep Learning Framework for Accurate Segmentation of Acute Ischemic Stroke Lesions from Non-Contrast CT Scans", Physical and Engineering Sciences in Medicine
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